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https://github.com/opencv/opencv.git
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2c4bbb313c
Conflicts: cmake/OpenCVConfig.cmake cmake/OpenCVLegacyOptions.cmake modules/contrib/src/retina.cpp modules/gpu/doc/camera_calibration_and_3d_reconstruction.rst modules/gpu/doc/video.rst modules/gpu/src/speckle_filtering.cpp modules/python/src2/cv2.cv.hpp modules/python/test/test2.py samples/python/watershed.py
265 lines
7.2 KiB
C++
265 lines
7.2 KiB
C++
#include <iostream>
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#include <vector>
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#include <iomanip>
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#include "opencv2/core/utility.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/ocl/ocl.hpp"
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#include "opencv2/video/video.hpp"
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using namespace std;
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using namespace cv;
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using namespace cv::ocl;
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typedef unsigned char uchar;
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#define LOOP_NUM 10
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int64 work_begin = 0;
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int64 work_end = 0;
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static void workBegin()
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{
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work_begin = getTickCount();
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}
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static void workEnd()
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{
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work_end += (getTickCount() - work_begin);
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}
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static double getTime()
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{
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return work_end * 1000. / getTickFrequency();
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}
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template <typename T> inline T clamp (T x, T a, T b)
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{
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return ((x) > (a) ? ((x) < (b) ? (x) : (b)) : (a));
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}
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template <typename T> inline T mapValue(T x, T a, T b, T c, T d)
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{
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x = clamp(x, a, b);
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return c + (d - c) * (x - a) / (b - a);
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}
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static void getFlowField(const Mat& u, const Mat& v, Mat& flowField)
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{
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float maxDisplacement = 1.0f;
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for (int i = 0; i < u.rows; ++i)
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{
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const float* ptr_u = u.ptr<float>(i);
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const float* ptr_v = v.ptr<float>(i);
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for (int j = 0; j < u.cols; ++j)
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{
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float d = max(fabsf(ptr_u[j]), fabsf(ptr_v[j]));
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if (d > maxDisplacement)
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maxDisplacement = d;
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}
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}
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flowField.create(u.size(), CV_8UC4);
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for (int i = 0; i < flowField.rows; ++i)
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{
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const float* ptr_u = u.ptr<float>(i);
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const float* ptr_v = v.ptr<float>(i);
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Vec4b* row = flowField.ptr<Vec4b>(i);
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for (int j = 0; j < flowField.cols; ++j)
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{
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row[j][0] = 0;
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row[j][1] = static_cast<unsigned char> (mapValue (-ptr_v[j], -maxDisplacement, maxDisplacement, 0.0f, 255.0f));
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row[j][2] = static_cast<unsigned char> (mapValue ( ptr_u[j], -maxDisplacement, maxDisplacement, 0.0f, 255.0f));
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row[j][3] = 255;
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}
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}
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}
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int main(int argc, const char* argv[])
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{
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static std::vector<Info> ocl_info;
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ocl::getDevice(ocl_info);
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//if you want to use undefault device, set it here
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setDevice(ocl_info[0]);
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//set this to save kernel compile time from second time you run
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ocl::setBinpath("./");
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const char* keys =
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"{ h | help | false | print help message }"
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"{ l | left | | specify left image }"
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"{ r | right | | specify right image }"
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"{ o | output | tvl1_output.jpg | specify output save path }"
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"{ c | camera | 0 | enable camera capturing }"
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"{ s | use_cpu | false | use cpu or gpu to process the image }"
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"{ v | video | | use video as input }";
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CommandLineParser cmd(argc, argv, keys);
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if (cmd.get<bool>("help"))
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{
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cout << "Usage: pyrlk_optical_flow [options]" << endl;
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cout << "Avaible options:" << endl;
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cmd.printMessage();
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return 0;
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}
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bool defaultPicturesFail = false;
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string fname0 = cmd.get<string>("l");
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string fname1 = cmd.get<string>("r");
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string vdofile = cmd.get<string>("v");
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string outpath = cmd.get<string>("o");
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bool useCPU = cmd.get<bool>("s");
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bool useCamera = cmd.get<bool>("c");
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int inputName = cmd.get<int>("c");
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Mat frame0 = imread(fname0, cv::IMREAD_GRAYSCALE);
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Mat frame1 = imread(fname1, cv::IMREAD_GRAYSCALE);
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cv::Ptr<cv::DenseOpticalFlow> alg = cv::createOptFlow_DualTVL1();
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cv::ocl::OpticalFlowDual_TVL1_OCL d_alg;
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Mat flow, show_flow;
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Mat flow_vec[2];
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if (frame0.empty() || frame1.empty())
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{
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useCamera = true;
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defaultPicturesFail = true;
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VideoCapture capture( inputName );
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if (!capture.isOpened())
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{
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cout << "Can't load input images" << endl;
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return -1;
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}
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}
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if (useCamera)
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{
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VideoCapture capture;
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Mat frame, frameCopy;
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Mat frame0Gray, frame1Gray;
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Mat ptr0, ptr1;
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if(vdofile == "")
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capture.open( inputName );
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else
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capture.open(vdofile.c_str());
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int c = inputName ;
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if(!capture.isOpened())
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{
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if(vdofile == "")
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cout << "Capture from CAM " << c << " didn't work" << endl;
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else
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cout << "Capture from file " << vdofile << " failed" <<endl;
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if (defaultPicturesFail)
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{
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return -1;
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}
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goto nocamera;
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}
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cout << "In capture ..." << endl;
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for(int i = 0;; i++)
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{
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if( !capture.read(frame) )
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break;
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if (i == 0)
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{
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frame.copyTo( frame0 );
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cvtColor(frame0, frame0Gray, COLOR_BGR2GRAY);
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}
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else
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{
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if (i%2 == 1)
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{
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frame.copyTo(frame1);
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cvtColor(frame1, frame1Gray, COLOR_BGR2GRAY);
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ptr0 = frame0Gray;
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ptr1 = frame1Gray;
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}
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else
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{
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frame.copyTo(frame0);
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cvtColor(frame0, frame0Gray, COLOR_BGR2GRAY);
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ptr0 = frame1Gray;
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ptr1 = frame0Gray;
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}
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if (useCPU)
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{
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alg->calc(ptr0, ptr1, flow);
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split(flow, flow_vec);
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}
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else
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{
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oclMat d_flowx, d_flowy;
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d_alg(oclMat(ptr0), oclMat(ptr1), d_flowx, d_flowy);
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d_flowx.download(flow_vec[0]);
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d_flowy.download(flow_vec[1]);
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}
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if (i%2 == 1)
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frame1.copyTo(frameCopy);
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else
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frame0.copyTo(frameCopy);
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getFlowField(flow_vec[0], flow_vec[1], show_flow);
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imshow("PyrLK [Sparse]", show_flow);
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}
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if( waitKey( 10 ) >= 0 )
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goto _cleanup_;
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}
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waitKey(0);
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_cleanup_:
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capture.release();
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}
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else
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{
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nocamera:
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oclMat d_flowx, d_flowy;
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for(int i = 0; i <= LOOP_NUM; i ++)
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{
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cout << "loop" << i << endl;
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if (i > 0) workBegin();
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if (useCPU)
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{
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alg->calc(frame0, frame1, flow);
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split(flow, flow_vec);
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}
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else
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{
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d_alg(oclMat(frame0), oclMat(frame1), d_flowx, d_flowy);
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d_flowx.download(flow_vec[0]);
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d_flowy.download(flow_vec[1]);
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}
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if (i > 0 && i <= LOOP_NUM)
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workEnd();
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if (i == LOOP_NUM)
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{
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if (useCPU)
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cout << "average CPU time (noCamera) : ";
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else
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cout << "average GPU time (noCamera) : ";
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cout << getTime() / LOOP_NUM << " ms" << endl;
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getFlowField(flow_vec[0], flow_vec[1], show_flow);
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imshow("PyrLK [Sparse]", show_flow);
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imwrite(outpath, show_flow);
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}
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}
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}
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waitKey();
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return 0;
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}
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